hadoop集群配置——本地模式-伪分布式-全分布式

hadoop集群搭建 local模式 首先准备三台虚拟机（centos7版） 配置网络和主机之间的映射关系，保证三台虚拟机之间能相互找到（需要root用户，三台虚拟机均需要配置）：

vi /etc/hosts

 在后面添加网络和主机的映射：
 192.168.187.100 hadoop0
 192.168.187.101 hadoop1
 192.168.187.102 hadoop2

检验：

ping hadoop0
ping hadoop1
ping hadoop2

关闭防火墙（需要root用户，三台虚拟机均需要操作）：

systemctl stop firewalld
systemctl disable firewalld
systemctl status firewalld

关闭selinux

vi /etc/selinux/config

修改：

SELINUX=disabled

init 6

配置ssh，使得三台虚拟机之间可以相互免密登录（三台虚拟机均需要操作）：

ssh-keygen
ssh-copy-id hadoop0

将hadoop0中authorized_keys文件分别发送到hadoop1和hadoop2上

scp /home/hadoop/.ssh/authorized_keys hadoop@hadoop1:/home/hadoop/.ssh/
scp /home/hadoop/.ssh/authorized_keys hadoop@hadoop2:/home/hadoop/.ssh/

安装java和hadoop

在/home/hadoop目录下创建grapram和software目录

mkdir /home/hadoop/program
mkdir /home/hadoop/software

将本地Java压缩包和hadoop压缩包上传到software目录中
解压缩

tar -zxvf ibm-semeru-open-jdk_x64_linux_8u302b08_openj9-0.27.0.tar.gz
tar -zxvf hadoop-3.3.1.tar.gz

移动解压文件到program目录下：

mv jdk8u302-b08 /home/hadoop/program/jdk-1.8
mv hadoop-3.3.1 /home/hadoop/program/hadoop-3.3

配置java和hadoop的环境变量

cd
vi .bashrc

添加：

export JAVA_HOME=/home/hadoop/program/jdk-1.8
export PATH=$JAVA_HOME/bin:$PATH

export HADOOP_HOME=/home/hadoop/program/hadoop-3.3
export PATH=$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$PATH

export PATH=.:$PATH

source .bashrc

此时local模式下的hadoop部署成功

hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-3.3.1.jar pi 3 4

伪分布式部署 hadoop-env.sh

cd $HADOOP_HOME/etc/hadoop
vi hadoop-env.sh

添加自己安装的Java路径

export JAVA_HOME=/home/hadoop/program/jdk-1.8

core-site.xml

vi core-site.xml

 
 fs.defaultFS
hdfs://hadoop0:9000



hadoop.tmp.dir
file:/home/hadoop/program/hadoop-3.3/hdfs/tmp

hdfs-site.xml

vi hdfs-site.xml

dfs.replication
1



dfs.namenode.name.dir
file:/home/hadoop/program/hadoop-3.3/hdfs/name



dfs.datanode.data.dir
file:/home/hadoop/program/hadoop-3.3/hdfs/data

创建存储文件

cd $HADOOP_HOME
mkdir hdfs
mkdir hdfs/name
mkdir hdfs/data
mkdir hdfs/tmp

登录网址可以访问到hadoop

hdfs namenode –format
start-dfs.sh

访问网址：

http://localhost:9870

mapred-site.xml

cd $HADOOP_HOME/etc/hadoop

vi mapred-site.xml

mapreduce.framework.name
yarn


mapreduce.application.classpath
$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/*:$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/lib/*

yarn-site.xml

vi yarn-site.xml

yarn.nodemanager.aux-services
mapreduce_shuffle


yarn.nodemanager.env-whitelist
JAVA_HOME,HADOOP_COMMON_HOME,HADOOP_HDFS_HOME,HADOOP_CONF_DIR,CLASSPATH_PREPEND_DISTCACHE,HADOOP_YARN_HOME,HADOOP_HOME,PATH,LANG,TZ,HADOOP_MAPRED_HOME

yarn配置完成

start-yarn.sh

可访问网址：

http://localhost:8088

伪分布式部署完成

hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-3.3.1.jar pi 3 4

可访问网页看到任务

全分布式部署 删除伪分布式的数据重新创建文件

rm -rf /home/hadoop/program/hadoop-3.3/logs
rm -rf /home/hadoop/program/hadoop-3.3/hdfs
mkdir -p /home/hadoop/program/hadoop-3.3/hdfs/tmp
mkdir -p /home/hadoop/program/hadoop-3.3/hdfs/data
mkdir -p /home/hadoop/program/hadoop-3.3/hdfs/name

workers

cd $HADOOP_HOME/etc/hadoop
vim workers

删除原有数据
添加数据节点：

hadoop0
hadoop1
hadoop2

yarn-site.xml

vim yarn-site.xml

yarn.resourcemanager.hostname
hadoop0

将hadoop0上的相关文件发送到hadoop1和hadoop2上

cd
scp -r program hadoop@hadoop1:/home/hadoop/program
scp -r program hadoop@hadoop2:/home/hadoop/program
scp .bashrc hadoop@hadoop1:/home/hadoop
scp .bashrc hadoop@hadoop2:/home/hadoop
source .bashrc (hadoop1和hadoop2上)

启动全分布式的hadoop集群

hdfs namenode -format
start-dfs.sh
stop-dfs.sh
start-yarn.sh
stop-yarn.sh

全分布式集群部署完成

hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-3.3.1.jar pi
3 4